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Title:
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TOWARD A MODELIZATION OF MOBILE LEARNERS BEHAVIOR FOR THE DESIGN AND THE EVALUATION OF ADVANCED TRAINING SYSTEMS |
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Author(s):
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Fares Benayoune , Luigi Lancieri |
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ISBN:
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ISSN: 1645-7641 |
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Editors:
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Pedro Isaías |
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Year:
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2005 |
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Edition:
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V III, 2 |
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Keywords:
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Mobile learning, mobility analysis, dynamic visualization. |
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Type:
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Journal Paper |
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First Page:
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45 |
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Last Page:
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58 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Mobile learning or m-learning (ML) is a new form of e-learning where students use wireless networks to exchange data (questions, notes, courses, demos
) with their teachers. It is accomplished with the use of mobile devices such as palmtops, PDA, smart phones, tablet PCs or any other handheld devices. The main contribution of ML is the large mobility it offers to the different actors of the training. We believe that the comprehension of this mobility is crucial in order to better design, deploy, and manage future wireless networks in a training context. In this article we propose an approach to more understand and analyze learners' behavior in wireless environments. Our idea is to integrate and visualize statically (e.g. infrastructure, Access Points position) and dynamically (e.g. users' itineraries, accessed data) extracted data in unique dashboard interface. This approach makes it possible to track real learners by providing, in addition to their graph of mobility, various views on their space-time behaviors. Moreover, it allows the comparison of behaviors evolution over several periods of time. |
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